Scholar Migration

This dataset contains aggregate information on migration of scholar for different countries. The main feature is the number of migrations n_migrations, but there are multiple variables that can enrich the analysis, such as the year of migration, the countries involved and their respective income and population.

The data can be aggregated at a regional level, since we have information for the following regions:

[1] "East Asia & Pacific"        "Europe & Central Asia"     
[3] "Latin America & Caribbean " "Middle East & North Africa"
[5] "North America"              "South Asia"                
[7] "Sub-Saharan Africa "       

Then it is possible to analyze how researchers migrated between regions.

`summarise()` has grouped output by 'year', 'regionfrom'. You can override
using the `.groups` argument.

Scholars from East Asia & Pacific mostly migrate to

Scholars from Europe & Central Asia mostly migrate to

Scholars from Latin America & Caribbean mostly migrate to

Scholars from Middle East & North Africa mostly migrate to

Scholars from North America mostly migrate to

Scholars from South Asia mostly migrate to

Scholars from Sub-Saharan Africa mostly migrate to

We can also visualize a map of the rate of migration from each country in Europe for the year 2018, for example: